- Non-Invasive Vital Sign Monitoring
- Blind Source Separation Techniques
- EEG and Brain-Computer Interfaces
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Cardiac Arrest and Resuscitation
- Satellite Image Processing and Photogrammetry
- Heart Rate Variability and Autonomic Control
- Optical measurement and interference techniques
- Distributed Sensor Networks and Detection Algorithms
- Blood Pressure and Hypertension Studies
- Advanced MIMO Systems Optimization
- Advanced Vision and Imaging
- Electric Power System Optimization
- Robotics and Sensor-Based Localization
- Nonlinear Dynamics and Pattern Formation
- Advanced Measurement and Detection Methods
- Advanced Optical Sensing Technologies
- Iterative Learning Control Systems
- Energy Harvesting in Wireless Networks
- ECG Monitoring and Analysis
- Phonocardiography and Auscultation Techniques
- Speech and Audio Processing
- Optical Coherence Tomography Applications
- Dietary Effects on Health
Guangdong University of Technology
2016-2025
Chinese University of Hong Kong
2024
University of Hong Kong
2024
Huazhong University of Science and Technology
2023
Shanghai Academy of Social Sciences
2023
Ministry of Education of the People's Republic of China
2020-2021
State Key Laboratory of Automotive Simulation and Control
2021
Jilin University
2021
Shanghai University
2006
Second Artillery General Hospital of Chinese People's Liberation Army
2006
This article proposes a cooperative energy market model for an active Distribution Network (DN) by using the theory of Generalized Nash Bargaining (GNB). The proposed has three types participants: DN operator, buyers, and sellers. Two trading manners are allowed at same time: 1) each buyers/sellers trades with operator; 2) buyers sellers trade in Peer-to-Peer (P2P) manner pay network usage fees to operator. In market, operator actively manages voltage reactive power (Volt-VAR) via...
Mobile Edge Computing (MEC) networks have recently developed to integrate renewable sources for providing sustainable and low-cost computation/energy services. However, one challenging problem is how guarantee the stable effective services numerous devices under highly intermittent generations variable demands. In this paper, we consider co-deploy edge servers energy storage at micro Base Station (BS) in each sub-network. considered scenario, first determine number of units different...
Spectral Flux (SF), which is based on common algorithms in the audio processing field, was applied to quantitatively analyze ECG signals optimize timing of defibrillation. With aim proving performance optimizing defibrillation, SF compared with Amplitude Spectrum Area (AMSA) a porcine model ventricular fibrillation (VF) retrospective analysis experiment.
Background: The amplitude spectrum area (AMSA), a frequency-domain ventricular fibrillation (VF) waveform metric, can predict successful defibrillation and the return of spontaneous circulation (ROSC) after attempts. We aimed to investigate validation Spectral Energy for quantitative analysis VF guide in porcine model cardiac arrest compare it with AMSA metric. In addition, we sought determine effects epinephrine cardiopulmonary resuscitation (CPR) on Energy. Methods: Sixty male domestic...
Unmanned aerial vehicles as an important role for 5G and beyond networks are becoming more popular have been equipped with various sensors to enable diverse emerging applications, e.g. locating sound-emitting targets. Multi-channel blind source separation algorithm has applied into the unmanned micro vehicles, where underdetermined mixture is a challenging problem, i.e. number of sources than microphones. An optimization separate multi-channel audio signals recorded by vehicle proposed. In...
It is important to improve the depth resolution in depth-resolved wavenumber-scanning interferometry (DRWSI) owing limited range of wavenumber scanning. In this work, a new nonlinear iterative least-squares algorithm called wavenumber-domain (WLSA) proposed for evaluating phase DRWSI. The simulated and experimental results Fourier transform (FT), complex-number (CNLSA), eigenvalue-decomposition (EDLSA), WLSA were compared analyzed. According results, less dependent on initial values, δz...
Objective: Our study aims to evaluate the association between heart rate variability (HRV) and short- long-term prognosis in patients admitted intensive care unit (ICU). Methods Results: Adult continuously monitored for over 24 h ICUs from American Medical Information Mart Intensive Care (MIMIC)-IV Waveform Database were recruited our study. Twenty HRV-related variables (8 time domain, 6 frequency nonlinear variables) calculated based on RR intervals. The HRV all-cause mortality was...
In Internet of Things (IoT), physical-level cross-technology communication (CTC) enables IoT gateways to communicate with heterogeneous nodes economically. However, because bandwidth asymmetry between technologies, many residual frequency resources are often not fully utilized. Without modification on hardware, in this article, we consider the coexistence ultralow power (ULP) and WiFi nodes, propose ERFR-CTC that an gateway exploit without adding additional cost. With ERFR-CTC, can...
Long-term and mobile healthcare applications have increased the use of single-channel electroencephalogram (EEG) systems. However, electromyography (EMG) artifacts often disturb EEGs. The lack spatial correlation, diversity waveforms, time-varying overlap make eliminating EMG interference from a EEG difficult. To overcome these challenges, we create DSATCN, dual-stream learning model that makes multi-level multi-scale temporal dependencies in different frequency bands to perform robust...
Childhood and adolescent overweight obesity rates have been increasing year by year, becoming extremely common posing serious health risks, making it a global epidemic. should not be ignored, in-depth prevention treatment implemented to reduce the risk of chronic diseases in adulthood promote long-term physical development children. Dietary therapy is beneficial for children maintain healthy weight, achieve nutritional balance, prevent obesity. Additionally, specific requirements such as...
Abstract Cold atmospheric plasma (CAP) is an emerging tool for tumor treatment because it can inhibit cancer cell proliferation primarily through oxidative stress due to CAP-induced reactive oxygen species (ROS). Among various ROS targeting molecules in cells, microRNAs (miRNAs) are one kind of important targets that be stimulated by ROS, and many studies have shown miRNAs involved the metabolism regulation cells. In this study, we applied helium-CAP (He-CAP) HeLa observed induced He-CAP...
In modern machining processes, Gantry Machining Center is one of the most important machine tools. Moreover, beam components directly relate to overall performance. From multi-body simulation (MBS) and finite element analysis (FEA) respectively, paper discusses current state dynamics modelling tool in domestic overseas. this paper, We adopt a method, multi-flexible body dynamics(MFBD) modeling method for transmission (linear guidance ball screw drives) software Recurdyn, create conditions...
This article aims to investigate a distributed synchronization problem of multiple vehicles with unknown actuator nonlinearities under directed communication network. In the existing works agent systems (MAS) that are feasible for modeling vehicles, actuators usually assumed perform perfectly in linear condition, which, however, contradicts practical dynamical systems. To attack such an assumption, we propose adaptive fully protocol is capable handling vehicles. Two laws designed each...
This paper presents an adaptive predictive control strategy based on the Laguerre function sequence for Chopper cascade speed system. The principles and algorithms this are introduced briefly. simulation results of chopper system demonstrated that design does not rely accurate mathematical models. has only property a faster response, smaller overshoot, but also better disturbance rejection capability than PID controllers.
Since the existing methods for defibrillation decision have yet to be perfected, we attempt redesign a decision-making method detecting ventricular fibrillation (VF) and deciding timing of in this paper. Our is combined with Support Vector Machine (SVM) Opt-AMSA, aiming at rhythm classification optimal on respectively. It mainly includes two parts, timing. We firstly convert electrocardiograph (ECG) signal from time domain frequency by Fourier transform select serious magnitudes components...
Abstract In order to comprehensively track and monitor battery performance across time domains perform efficient thermal management. This article first summarized the research progress status quo of aging models, then coupled it with thermoelectric models obtain evolution characteristic parameters during decay. From perspective life cycle, explored safety control overheating prevention technology power batteries, proposed a feed-forward heat management strategy, took cooling measures in...
In Internet of Things (IoT), ZigBee and Bluetooth Low Energy (BLE) are two popular technologies. Their devices often coexist enabling them to communicate with each other will facilitate our daily lives greatly. this article, we present PatternBee, a lightweight physical-level cross-technology communication (PHY-level CTC) scheme which enables ZigBee-to-BLE direct communications. the BLE receiver divides received symbols into pieces. We find that some pieces always have phase shift 0 no...